RSVP facilitates the two-way communication between physicians (who are the sensors for disease in a community) and public health officials (who are the true experts in determining whether or not disease outbreaks are taking place in community). Currently, there is no software product that enables real-time on line reporting to local public health officials, nor timely feedback to clinicians taking care of ill patients. RSVP takes into consideration the cultural differences in the practice of medicine across the US and internationally, and provides for automated alerting of public health officials in the setting of a potentially serious disease outbreak. In addition, clinicians parficipation is immediately rewarded by providing information that is meaningful for the management of their patients. We envision the addition to RSVP of automated statistical analysis of data (currentty being done on a case-by-case basis by hand), including SNL technology based on neural network analysis. Integration of other SNL technology into RSVP will provide added-value, and will dramatically assist public health officials in their quest to identify disease outbreaks as early as possible in an epidemic (even before the actual level of known cases exceeds historical background) based on other parameters such as rapidity of spread of symptoms in a population. In addition, we are developing a parallel system of syndrome surveillance in animals (called "RSVP-A"), in collaboration with Kansas State University. Data from animal disease outbreaks will also be made available to physicians caring for human patients as zoonotic disease may be important in human epidemics.
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@misc{osti_1230813,
title = {Rapid Syndrome Validation Project (RSVP), Version 00},
author = {Caskey, Susan and Ross, Troy},
abstractNote = {RSVP facilitates the two-way communication between physicians (who are the sensors for disease in a community) and public health officials (who are the true experts in determining whether or not disease outbreaks are taking place in community). Currently, there is no software product that enables real-time on line reporting to local public health officials, nor timely feedback to clinicians taking care of ill patients. RSVP takes into consideration the cultural differences in the practice of medicine across the US and internationally, and provides for automated alerting of public health officials in the setting of a potentially serious disease outbreak. In addition, clinicians parficipation is immediately rewarded by providing information that is meaningful for the management of their patients. We envision the addition to RSVP of automated statistical analysis of data (currentty being done on a case-by-case basis by hand), including SNL technology based on neural network analysis. Integration of other SNL technology into RSVP will provide added-value, and will dramatically assist public health officials in their quest to identify disease outbreaks as early as possible in an epidemic (even before the actual level of known cases exceeds historical background) based on other parameters such as rapidity of spread of symptoms in a population. In addition, we are developing a parallel system of syndrome surveillance in animals (called "RSVP-A"), in collaboration with Kansas State University. Data from animal disease outbreaks will also be made available to physicians caring for human patients as zoonotic disease may be important in human epidemics.},
doi = {},
url = {https://www.osti.gov/biblio/1230813},
year = {Fri Mar 26 00:00:00 EST 2004},
month = {Fri Mar 26 00:00:00 EST 2004},
note =
}
